#AI reads Urine# Automated Enrichment and Coextraction Pipeline for Efficient Analysis of Urinary Extracellular Vesicle Protein and RNA

The document describes the development of a bead-based automated pipeline for efficiently enriching urinary extracellular vesicles (EVs) and coextracting their protein and RNA cargo. Compared to traditional methods like ultracentrifugation, acetone precipitation, and TRIzol extraction, this pipeline achieves over a 5-fold increase in EV protein and RNA yield while reducing processing time from approximately 2 days to just 1 hour. It utilizes functionalized magnetic beads for EV capture, optimized lysis buffers, and solvent-driven solid-phase extraction to sequentially isolate pure protein and RNA fractions. When applied to prostate cancer diagnosis, a panel of EV-derived protein (PCYOX1) and RNA (PCA3, miR-375) markers demonstrated an AUC of 0.82, with 86% sensitivity and 73% specificity—outperforming serum PSA testing. This streamlined, automated approach enhances efficiency, stability, and diagnostic accuracy, offering a robust tool for noninvasive disease diagnostics and EV biomarker research.

J Proteome Res. 2025 Jun 22. doi: 10.1021/acs.jproteome.5c00357.

Automated Enrichment and Coextraction Pipeline for Efficient Analysis of Urinary Extracellular Vesicle Protein and RNA

Youhe Gao

Statement: During the preparation of this work the author(s) used Doubao / AI reading for summarizing the content. After using this tool/service, the author(s) reviewed and edited the content as needed and take(s) full responsibility for the content of the published article.

For earlier AI Reads Urine articles：

https://www.keaipublishing.com/en/journals/advances-in-biomarker-sciences-and-technology/ai-reads-urine/